Author

Kazutaka Ikeda

Kazusa DNA Research InstituteORCID 0000-0001-9247-4593Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kazutaka Ikeda1 paper · Hiroshima University

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Makoto AritaiD· 2 shared Akiyoshi HirayamaiD· 1 shared Atsushi HatanoiD· 1 shared Aya SatohiD· 1 shared Haruki UchinoiD· 1 shared Hiroki KanekoiD· 1 shared Hironobu UmakoshiiD· 1 shared Hiroshi InoueiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Makoto AritaORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintApr 13, 2023

Wide scope analysis of bioactive lipids, including steroids, bile acids, and polyunsaturated fatty acid metabolites, in human plasma by LC/MS/MS

Kohta Nakatani, Yoshihiro Izumi, Hironobu Umakoshi…·Takeshi Bamba

The paper develops an LC/MS/MS method to measure over 140 bioactive lipids in human plasma, revealing sex and circadian differences.

1 citation

humanmetabolomics

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BioinformaticsbioRxivPreprintFeb 11, 2020

MS-DIAL 4: accelerating lipidomics using an MS/MS, CCS, and retention time atlas

Hiroshi Tsugawa, Kazutaka Ikeda, Mikiko Takahashi…·Makoto Arita

MS-DIAL 4 provides a comprehensive lipidome atlas with retention time, collision cross section, and MS/MS data to standardize and accelerate lipidomics research.

32 citations

metagenomicsstatistical model

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Systems BiologybioRxivPreprintMay 31, 2019

Trans-omic analysis reveals allosteric and gene regulation-axes for altered glucose-responsive liver metabolism associated with obesity

Toshiya Kokaji, Atsushi Hatano, Yuki Ito…·Shinya Kuroda

The paper analyzes trans-omic data from healthy and obese mice to reveal that glucose-responsive liver metabolism is regulated by rapid changes in metabolites and gene expression in the healthy state, and by slow transcriptional regulation in the obese state.

DOI 10.1101/653758

mousebulk RNA-seq

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